Earth surface evolution: a Phanerozoic gridded dataset of Global Plate Model reconstructions
Author(s): Lewis A. Jones and Mathew Domeier
This repository contains the data and code required to generate the materials for the article, “Earth surface evolution: a Phanerozoic gridded dataset of Global Plate Model reconstructions” (Jones and Domeier, 2023).
To cite the paper:
Jones, L.A. and Domeier, M.M. 2023. Earth surface evolution: a Phanerozoic gridded dataset of Global Plate Model reconstructions. (TBC).
To cite this repository:
Jones, L.A. and Domeier, M.M. 2023. Earth surface evolution: a Phanerozoic gridded dataset of Global Plate Model reconstructions. GitHub Repository: https://github.com/LewisAJones/PhanGrids.
NOTE: All reconstructions files are deposited on the dedicated Zenodo repository.
Example of H3’s discrete global grid system. (a) A H3
global grid at resolution 2 (~316.12 km cell spacing). Land masses are
depicted in grey, except for Brazil, which is depicted in purple. The
grid is illustrated in an orthographic projection. (b) H3 grids overlaid
on Brazil at resolutions 2, 3, and 4, which have an average cell spacing
of ~316 km, ~119 km, and ~45 km, respectively. The map illustrates the
hierarchical nature of the H3 geospatial indexing system.
Data
data/containspbdb_data.csv, a dataset of fossil collections from the Palaeobiology Database.data/containsresolution_2.RDS, an example reconstruction file (H3 resolution 2) using the Merdith et al. (2021) Global Plate Model.
Python
python/contains the subfolderplate_models, which contains the static polygons and rotation files for the five Global Plate Models used here:
| Abbreviation | Temporal coverage | Reference |
|---|---|---|
| WR13 | 0–550 Ma | (Wright et al., 2013) |
| MA16 | 0–410 Ma | (Matthews et al., 2016) |
| TC16 | 0–540 Ma | (Torsvik and Cocks, 2016) |
| SC16 | 0–1100 Ma | (Scotese, 2016) |
| ME21 | 0–1000 Ma | (Merdith et al., 2021) |
python/containsmake_grids.ipynb, which provides a Jupyter Notebook documenting the process used to make the reconstruction grids.python/containslook_up.ipynb, which provides a Jupyter Notebook which can be used to generate reconstructed coordinates for user data from the reconstruction files.
R
R/contains the subfolderfigures, which provides the R code used to generate figures for the article.R/containslook_up.R, which provides an R script which can be used to generate reconstructed coordinates for user data from the reconstruction files.
References
Matthews, K. J., Maloney, K. T., Zahirovic, S., Williams, S. E., Seton, M., & Müller, R. D. (2016). Global plate boundary evolution and kinematics since the late Paleozoic. Global and Planetary Change, 146, 226–250. https://doi.org/10.1016/j.gloplacha.2016.10.002.
Merdith, A. S., Williams, S. E., Collins, A. S., Tetley, M. G., Mulder, J. A., Blades, M. L., Young, A., Armistead, S. E., Cannon, J., Zahirovic, S., & Müller, R. D. (2021). Extending full-plate tectonic models into deep time: Linking the Neoproterozoic and the Phanerozoic. Earth-Science Reviews, 214, 103477. https://doi.org/10.1016/j.earscirev.2020.103477.
Scotese, C. R. (2016). Tutorial: PALEOMAP paleoAtlas for GPlates and the paleoData plotter program: PALEOMAP Project, Technical Report.
Wright, N., Zahirovic, S., Müller, R. D., & Seton, M. (2013). Towards community-driven paleogeographic reconstructions: Integrating open-access paleogeographic and paleobiology data with plate tectonics. Biogeosciences, 10, 1529–1541. https://doi.org/10.5194/bg-10-1529-2013.
Torsvik, T. H., & Cocks, L. R. M. (2017). Earth history and palaeogeography.